Analysis Of Clinical Characteristics Of Dialysis Patients With Novel Coronavirus Infection

Objective: To retrospectively analyze the clinical characteristics of dialysis patients with COVID-19 and the factors influencing their tendency to develop severe disease.Methods: Dialysis patients with a clear diagnosis of novel coronavirus infection attending the Affiliated Hospital of Jilin Medical College from 03/2022 to 05/2022 were collected for general information and laboratory tests and pulmonary imaging manifestations,and patients were divided into severe and non-severe disease groups according to their condition.The data were statistically studied using SPSS25.0 application,and normal and non-normal measures were expressed as mean ± standard deviation((?)±s)or Inter Quartile Range(IQR)[P50(P25,P50)],respectively;the rank sum test and independent samples t-test were used for comparison between groups.Count data were expressed as the number of cases and analyzed by χ2 test,Fisher’s exact probability method.Variables that were statistically significant in the univariate analysis were included in the multifactorial binary logistic regression analysis to screen out risk factors and plot the inclusion case characteristic curve(ROC)to assess their predictive accuracy.p < 0.05 indicates a statistically significant difference.Results:1.96 patients with COVID-19 combined with dialysis were collected according to the inclusion criteria,including 17 patients in the severe group and 79 patients in the non-severe group.The age range of the severe group was 41-83 years old,with a mean age of 65.76±12.15;the age range of the non-severe group was 34-83 years old,with a mean age of 59.29 ± 11.00 years,and the difference between the two groups was statistically significant(P<0.05).2.The mean time to change from positive to negative nucleic acid was 25.24±2.61 days in the severe group and 19.57±5.99 days in the non-severe group,and the difference between the two groups was statistically significant(P<0.05).3.Fever,malaise and cough were common clinical symptoms in COVID-19 combined dialysis patients,with 58(60.4%),43(44.8%)and 40(41.7%)cases,respectively.Among them,the difference of malaise was statistically significant between the two groups(P <0.05).4.Patients with a combination of 2 or more underlying diseases had a greater tendency to be more severe,and the difference was statistically significant(P < 0.05).5.WBC,PLT,PCT,and D-D in the severe disease group were mostly higher than those in the non-severe disease group,while lymphocyte counts were mostly lower than those in the non-severe disease group,and the differences in PLT,PCT,and D-D were statistically significant(P < 0.05).6.All bilateral lungs were involved in the severe disease group,and the proportion of bilateral lung lobes involved in the severe disease group was significantly higher than that in the non-severe disease group(P < 0.05),and the difference was statistically significant.7.The results of the above statistically significant relevant univariate analysis were incorporated into a multi-factor binary logistic regression to derive the results: combined underlying diseases(2 and more),time to change from positive to negative nucleic acid,fatigue,PCT,and combined pleural effusion were important risk factors for the development of severe disease in patients with novel coronavirus infection with relatively high accuracy.Conclusion:1.A study of patients with combined dialysis and diagnosed with COVID-19 at the Affiliated Hospital of Jilin Medical College found that patients with COVID-19 had fever,cough,and malaise as common clinical symptoms.The mean time to change from positive to negative nucleic acid was higher in the severe group than in the non-severe group.2.Patients with multiple underlying diseases combined in the included cases were more likely to develop severe disease.3.The platelet count and calcitoninogen were higher in the severe disease group than in the non-severe disease group,and PCT was an important risk factor for disease development.4.In the lung imaging,patients in the severe disease group had more lesions and a larger scope compared with those in the non-severe disease group,and were more likely to have combined pleural effusions.